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Journal of Biomedical Optics • new

Deep neural network-based bandwidth enhancement of photoacoustic data
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Paper Abstract

Photoacoustic (PA) signals collected at the boundary of tissue are always band-limited. A deep neural network was proposed to enhance the bandwidth (BW) of the detected PA signal, thereby improving the quantitative accuracy of the reconstructed PA images. A least square-based deconvolution method that utilizes the Tikhonov regularization framework was used for comparison with the proposed network. The proposed method was evaluated using both numerical and experimental data. The results indicate that the proposed method was capable of enhancing the BW of the detected PA signal, which inturn improves the contrast recovery and quality of reconstructed PA images without adding any significant computational burden.

Paper Details

Date Published: 2 November 2017
PDF: 7 pages
J. Biomed. Opt. 22(11) 116001 doi: 10.1117/1.JBO.22.11.116001
Published in: Journal of Biomedical Optics Volume 22, Issue 11
Show Author Affiliations
Sreedevi Gutta, Indian Institute of Science (India)
Venkata Suryanarayana Kadimesetty, Indian Institute of Science (India)
Sandeep Kumar Kalva, Nanyang Technological Univ. (Singapore)
Manojit Pramanik, Nanyang Technological Univ. (Singapore)
Sriram Ganapathy, Indian Institute of Science (India)
Phaneendra K. Yalavarthy, Indian Institute of Science (India)

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